- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT06427265
Machine Learning-based Longitudinal Study of Post-ICU Syndrome Development Trajectory in Critically Ill Patients and Construction of Clinical Early Warning Models: a Research Protocol for Longitudinal Study
May 26, 2025 updated by: The Affiliated Hospital Of Guizhou Medical University
This project intends to track and evaluate whether post-ICU syndrome will occur 7 days, 1 month, 3 months and 6 months after ICU patients are transferred out of the ICU through a longitudinal study, apply the latent category growth model to identify different trajectory patterns of post-ICU syndrome in critically ill patients, and use modern machine learning models to build an early warning model of the trajectory patterns of post-ICU syndrome.
Study Overview
Status
Recruiting
Study Type
Observational
Enrollment (Estimated)
840
Contacts and Locations
This section provides the contact details for those conducting the study, and information on where this study is being conducted.
Study Contact
- Name: Tingrui WANG
- Phone Number: 19117899885
- Email: W19117899885@163.com
Study Locations
-
-
Guizhou
-
GuiYang, Guizhou, China, 550004
- Recruiting
- Affiliated Hospital of Guizhou Medical University
-
Contact:
- Tingrui WANG
- Phone Number: 19117899885
- Email: W19117899885@163.com
-
-
Participation Criteria
Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
Yes
Sampling Method
Non-Probability Sample
Study Population
Stage one involved studying patients discharged from the ICU and their families to investigate the occurrence and factors influencing post-intensive care syndrome (PICS), identifying various developmental patterns of PICS.
A minimum sample size of 840 patients and 420 family members was established.
Stage two focused on developing and evaluating a machine learning-based early warning model for PICS.
The model construction utilized data from stage one, while the evaluation included 525 patients and 393 family members who met the exclusion criteria.
Description
Inclusion Criteria patients :
- Length of stay in ICU ≥24h;
- Age ≥18 years old;
- Conscious when leaving ICU, communicating with investigators without barriers;
- Informed consent. Family members:
- One family member ≥18 years of age was selected for each patient;
- Assume the main role of caring for patients and medical decision-making;
- No history of mental illness or other serious organic diseases;
- Informed consent and voluntary participation in this study.
Exclusion Criteria patients :
- Have been in ICU for more than 24h within 3 months before this admission;
- Transferred to another ICU;
- Cognitive impairment existed before ICU admission (BDRS > 4 points);
- Severe hearing impairment, dysarthria, etc., which cannot be followed up;
- Unable to complete the questionnaire survey due to serious illness.
Family members:
- Family members refuse to participate in the study due to their own reasons;
- Severe hearing and language impairment, unable to cooperate with researchers.
Study Plan
This section provides details of the study plan, including how the study is designed and what the study is measuring.
How is the study designed?
Design Details
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Correlation scale score
Time Frame: 2024-2026
|
Patient:
Family members:
|
2024-2026
|
Collaborators and Investigators
This is where you will find people and organizations involved with this study.
Collaborators
Investigators
- Study Chair: Li Yao, Affiliated Hospital of Guizhou Medical University
Study record dates
These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.
Study Major Dates
Study Start (Actual)
December 1, 2023
Primary Completion (Estimated)
June 1, 2025
Study Completion (Estimated)
June 1, 2026
Study Registration Dates
First Submitted
May 19, 2024
First Submitted That Met QC Criteria
May 19, 2024
First Posted (Actual)
May 23, 2024
Study Record Updates
Last Update Posted (Actual)
May 31, 2025
Last Update Submitted That Met QC Criteria
May 26, 2025
Last Verified
June 1, 2024
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- ZHKYQ202316
- No. ZHKYQ202316 (Other Grant/Funding Number: Chinese Nursing Association)
- No. Gyfynsfc[2023]35 (Other Grant/Funding Number: The Affiliated Hospital of Guizhou Medical University)
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
NO
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
No
Studies a U.S. FDA-regulated device product
No
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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